• Korean Journal of Psychosomatic Medicine
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• v.29 no.2
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• pp.77-85
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• 2021

Breast cancer is the most prevalent oncological disease among women. Various psychosocial distress is common at the diagnosis, treatment, and posttreatment phase of breast cancer. For the treatment of breast cancer, not only medical treatment but also psychosomatic integrative care will be needed. Patients with breast cancer may lead to increased vulnerability to stress, adjustment disorder, anxiety disorder, and depressive disorder, and these psychiatric diseases and conditions are associated with recurrence or exacerbation of breast cancer. Psychosocial treatment of anxiety and depression could increase the quality of life of patients and decrease the recurrence and progression of breast cancer. In this article, we reviewed 5 clinical breast cancer survivorship guidelines focused on psychosomatic integrative care including psychosocial treatment and alternative treatment for psychosocial distress. Because 5 treatment guidelines were using various definitions of evidence, we confirmed evidence of various psychosocial treatments for patients with breast cancer based on the definition of evidence by the US Preventive Service Task Force (USPSTF) guideline. We also reviewed the effect size of psychosocial treatment for anxiety, depression, mood, and quality of life in patients with breast cancer. This article discusses the barrier to the delivery of psychosomatic integrative care and suggests integrative care planning for breast cancer. Multi-disciplinary teams, patient's needs assessment, information technology support, patient and caregiver engagement, planned periodic monitoring of psychosocial distress by a psychosomatic specialist or consultation-liaison psychiatrist are recommended as key features of a psychosomatic integrated care plan.

• Journal of KIISE
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• v.41 no.11
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• pp.927-934
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• 2014

In this paper, we propose an effective method for recognizing daily human activities from a stream of three dimensional body poses, which can be obtained by using Kinect-like RGB-D sensors. The body pose data provided by Kinect SDK or OpenNI may suffer from both the view variance problem and the scale variance problem, since they are represented in the 3D Cartesian coordinate system, the origin of which is located on the center of Kinect. In order to resolve the problem and get the view-invariant and scale-invariant features, we transform the pose data into the spherical coordinate system of which the origin is placed on the center of the subject's hip, and then perform on them the scale normalization using the length of the subject's arm. In order to represent effectively complex internal structures of high-level daily activities, we utilize Hidden state Conditional Random Field (HCRF), which is one of probabilistic graphical models. Through various experiments using two different datasets, KAD-70 and CAD-60, we showed the high performance of our method and the implementation system.

• Journal of The Korean Association of Information Education
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• v.21 no.6
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• pp.607-618
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• 2017

Recently, there is a growing interest in learning to use games as a teaching method for digital native learners. In this study, we conducted a path analysis between bodily-kinesthetic intelligence, linguistic intelligence, flow, learning outcomes(academic achievement, persistence intention) in motion-capture game-based learning(the used game developed for elementary school history class). As a result, bodily-kinesthetic intelligence directly influenced flow and indirectly influenced learning outcomes. Linguistic intelligence did not have direct influence on flow and indirect effects on learning outcomes. Through this result, we expected that the motion-capture game-based learning facilitate learning motivation and performance of learners for higher bodily-kinesthetic intelligence.

• Transactions of the KSME C: Technology and Education
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• v.1 no.2
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• pp.193-198
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• 2013

The horseback riding simulator, an exercise training machine providing a simplified horse riding motion has been developed for aiming at healthcare. The purpose of this study was to estimate the energy expenditure without measuring bio-signals using the simulator. The test protocol was consisted of increase up to maximal intensity(Motion 9) and decrease down to minimal intensity(Motion 4) during 25 minutes, and energy expenditure was measured by portable cardiopulmonary exercise testing analyzer. There were significant differences in energy expenditure according to each riding motion. The result will be able to estimate energy expenditure using motion level, exercise time, age and gender during the riding.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.141-144
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• 2018

During human development, rapid emotional growth develops in infancy, and emotional regulation affects positive emotional development. Therefore, it is important for infants to learn how to control their emotions in infancy. In this study, we propose music-based media content that can improve the emotional regulation ability of infants. In other words, this study suggests a projector-based interactive content that plays various musical instruments through movement of the body following the music on the basis of the Eurhythmics education. Children were asked to perform five instruments: bass, drums, tambourines, castanets, and maracas in their physical movements using their hands, arms, and legs, so that physical activity had a positive impact on the child's emotional regulation. This music - based interactive content is expected to provide an environment that can help improve the emotional regulation by concentrating the attention of children.

• Journal of the Korea Computer Graphics Society
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• v.29 no.1
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• pp.13-22
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• 2023

In this paper, we present a method for estimating full 3D shapes from given 2D silhouette images of human bodies. Because the silhouette only consists of the partial information on the true shape, it is an ill-posed problem. To address the problem, we use the statistical human shape space obtained from the existing large 3D human shape database. The method consists of three steps. First, we extract the boundary pixels and their appropriate normal vectors from the input silhouette images. Then, we initialize the correspondences of each pixel to the vertex of the statistically-deformable 3D human model. Finally, we numerically optimize the parameters of the statistical model to fit best to the given silhouettes. The viability and the robustness of the method is demonstrated with various experiments.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.4
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• pp.234-240
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• 2022

This paper proposes a customized AI exercise recommendation service for balancing the relative amount of exercise according to the working environment by each occupation. WISDM database is collected by using acceleration and gyro sensors, and is a dataset that classifies physical activities into 18 categories. Our system recommends a adaptive exercise using the analyzed activity type after classifying 18 physical activities into 3 physical activities types such as whole body, upper body and lower body. 1 Dimensional convolutional neural network is used for classifying a physical activity in this paper. Proposed model is composed of a convolution blocks in which 1D convolution layers with a various sized kernel are connected in parallel. Convolution blocks can extract a detailed local features of input pattern effectively that can be extracted from deep neural network models, as applying multi 1D convolution layers to input pattern. To evaluate performance of the proposed neural network model, as a result of comparing the previous recurrent neural network, our method showed a remarkable 98.4% accuracy.

• Journal of Broadcast Engineering
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• v.18 no.3
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• pp.380-392
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• 2013

A method to classify a golf swing motion into 7 sections using a Kinect sensor and a fuzzy system is proposed. The inputs to the fuzzy logic are the positions of golf club and its head, which are extracted from the information of golfer's joint position and color information obtained by a Kinect sensor. The proposed method consists of three modules: one for extracting the joint's information, another for detecting and tracking of a golf club, and the other for classifying golf swing motions. The first module extracts the hand's position among the joint information provided by a Kinect sensor. The second module detects the golf club as well as its head with the Hough line transform based on the hand's coordinate. Using a fuzzy logic as a classification engine reduces recognition errors and, consequently, improves the performance of robust classification. From the experiments of real-time video clips, the proposed method shows the reliability of classification by 85.2%.

• Korean Journal of Psychosomatic Medicine
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• v.19 no.1
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• pp.20-27
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• 2011

Objectives: The present study aims to investigate the effects of physical illness on depression in North Korean Defectors. Methods: One hundred forty-four North Korean Defectors(20 males, 124 females) and 376 South Koreans 133 males, 243 females) in Incheon Metropolitan areas participated the present study. Face-to-face interview was conducted for demographic information including presence of physical illnesses. To investigate depressive symptoms, all participants were required to complete the Center for Epidemiologic Studies-Depression scale (CES-D). Results: After controlling gender, age, marital status, educational year, employment status and physical illness, North Korean Defectors showed higher CES-D score than South Koreans(${\beta}$=0.449, p<0.001). Within North Korean Defectors, the presence of physical illnesses independently was related to higher CES-D score(${\beta}$=0.243, p<0.001). However, within South Koreans, the presence of physical illnesses did not significantly predict CES-D score. North Korean Defectors with physical illness have higher CES-D score than North Korean Defectors without physical illness($26.8{\pm}13.8$ versus $19.7{\pm}12.7$). However, there was no significant differences of CES-D score between South Koreans with physical illness and South Koreans without physical illness($10.3{\pm}9.8$ versus $9.3{\pm}8.8$). Conclusion: Compared to South Koreans, North Korean Defector showed higher depressive symptoms independently from gender, age, education, employment, marriage. In addition, only North Korean Defectors showed the relationship between depression and physical illness. Our study suggests that depression should be assessed when North Korean Defectors have physical illness.

• Korean journal of communication and information
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• v.32
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• pp.247-293
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• 2006

It is an aim of this study to analyze a relation between modern medicine advertisements and body. Recently the academic world has discussed how comes it that the modernity had been formed. This trend is remarkable in the field of the history of everyday life. Because everyday life is connected with people's vivid experience. Especially in modern advertising it is in existence such as popular culture, consumer culture, sexuality, family, food, clothing and housing, disease. Since modern times the body has been reorganized into a new shape. Namely the premodern body that had been regulated by a status system is changed into modern body that have to form itself after the customs and values. We analyzed medicine advertisements in the early modern times and hoped to explain how modern people had understood their body. We applied Foucault's theory of discourse as a methodology. As a result of research, we came to the conclusion that there were several rules in the texts of medicine advertisements, which had formed a modern subject of pain. There was a disciplinary power such as a internalization of clinical eyes, self-watch in medicine advertisements. These advertisements contributed to the formation of subject of pain and related to the state power.